CN112016783B - LBS-based flood control emergency danger avoiding method - Google Patents
LBS-based flood control emergency danger avoiding method Download PDFInfo
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Abstract
The invention relates to a flood control emergency risk avoiding method based on LBS, which is characterized in that large data are positioned by introducing Internet and mobile phone communication, and comprehensive analysis is carried out by combining water conservancy, space topography, internet crowd large data and the like, so that the existing household registration-based personnel transfer mode and technical bottleneck are broken through, the precise arrival of risk avoiding transfer is realized, the precision and timeliness of recognition, early warning, guiding, tracking and feedback of risk avoiding crowd are greatly improved, and the emergency risk avoiding transfer efficiency and effect of crowd in a flood inundation influence area are practically improved. The problems that the traditional emergency risk avoidance technology is limited in real-time dynamic crowd information acquisition means, slow in notification response, low in early warning efficiency, difficult in risk avoidance crowd transfer condition tracking, difficult in transfer effect control and the like are solved; the crowd emergency response action guide technology solves the problem of other emergency events such as earthquake, typhoon, tsunami and other natural disasters.
Description
Technical Field
The invention relates to the technical field of hyperscale flood emergency refuge transfer, in particular to a flood control emergency refuge method based on LBS.
Background
The mode of dealing with flood control and danger avoiding transfer in China is generally to make an emergency plan in advance, but the problems that the implementation efficiency of the plan is not high, the plan is not completely consistent with the actual situation, and particularly, if the plan is not arranged, the plan is still difficult to handle and the like still exist. Currently, in areas where emergency plans are preset (such as flood storage areas), transfer and placement work is generally carried out by village and town defence responsible organizations, and responsible persons inform and arrange personnel to evacuate and avoid danger through various traditional modes such as telephone, continuous sounding gong or tweeter broadcasting modes. The traditional emergency risk avoidance technology has the problems of low notification efficiency, slow emergency response, low arrangement transfer efficiency and the like, particularly, under a new situation, the personnel flow is large, the mobile personnel cannot be reflected based on the personnel transfer mode of the household registration, and the emergency needs to be compensated. For the area without the preset out-of-standard flood emergency plan, when flood threat is suffered, the problem that people and property cannot be effectively transferred in time due to the fact that a preset scheduling scheme can be followed and corresponding emergency measures are not available is solved, and among the problems, how to quickly determine affected people and efficiently carry out the refuge arrangement is the problem that flood control emergency refuge in the area without the plan needs to be mainly solved. Therefore, when the overstandard flood occurs in the areas with and without the plans, the traditional emergency danger avoiding technology is difficult to quickly master the people group distribution in the dangerous area, and is difficult to effectively and timely inform and track and guide residents needing to be transferred in real time.
Therefore, how to apply the increasingly developed information technology to assist and promote the people in the flood influence range to carry out risk avoidance transfer is worthy of intensive research. The invention provides a flood control emergency refuge transfer auxiliary technology and a scheme based on a location service (Locationbasedservice (LBS)), and fills the technical blank. The study of the emergency refuge technology based on LBS at home and abroad basically belongs to the blank, most of the study on location service is concentrated in the pure mobile Internet application scene, and the study and application for flood control emergency refuge are rare. The crowd attribute, the electronic fence and other analysis technologies based on the location service and the application scene have the possibility of being applied to crowd identification, early warning and evacuation under the condition of super-standard flood, and are important scientific and technological application for innovation and emergency avoidance.
Disclosure of Invention
In order to solve the problems, the invention provides a flood control emergency risk avoiding method based on LBS, which solves the problems of limited real-time dynamic crowd information acquisition means, slow notification response, low early warning efficiency, difficult transfer condition tracking of risk avoiding crowd, difficult control of transfer effect and the like of the traditional emergency risk avoiding technology; the crowd emergency response action guide technology solves the problem of other emergency events such as earthquake, typhoon, tsunami and other natural disasters.
The technical scheme adopted by the invention is as follows: a flood control emergency risk avoiding method based on LBS comprises the following steps:
(1) Analyzing flood inundation and evolution conditions of the area threatened by flood through flood calculation;
(2) On the basis of the existing tissue evacuation, combining with a multi-source LBS technology, accurately identifying the position information of flood risk influence people and people in a safety area;
(3) Dynamically drawing crowd characteristic attributes and space-time distribution in disaster areas by adopting crowd image and geographic information system technology;
(4) Combining flood situation by utilizing LBS, space analysis, electronic fence technology and real-time communication technology, and carrying out transfer danger avoidance and evacuation early warning prompt and transfer guidance on personnel in a flood risk influence area; sending out early warning notice to personnel entering the high risk area to prompt the personnel to be far away from the risk area;
(5) Based on a real-time communication technology and an unmanned aerial vehicle technology, the flood control emergency risk avoidance information is pushed to mobile terminals of risk groups, risk avoidance transfer organization management and decision-making personnel and rescue parties, and flood flooding risk area personnel transfer is guided in real time;
(6) And by combining the real-time traffic condition information and the personnel load condition of the safety zone in a position real-time monitoring mode, the progress of population safety transfer is fed back and tracked, and the crowd jammed is dredged optimally or the evacuation path is planned again until the crowd is evacuated completely safely.
Preferably, in the step (1), the flood calculation result is obtained by dynamically calculating the flood in real time by adopting a hydrologic and hydrodynamic model, and specific calculation elements include risk information such as a flood submerging range, a submerging depth, a submerging duration and the like. The specific calculation method of flood calculation is not limited temporarily, and the flood calculation method can be flexibly selected according to the water conditions, industry conditions, ground conditions and people conditions of the river basin exceeding the standard river reach.
Preferably, in the step (2), the LBS technology (based on location service) comprehensively considers advantages and characteristics of the internet location big data and the communication operator location big data in terms of sampling frequency, cost, location accuracy, coverage area and the like, and forms and utilizes the multi-source data in a fusion manner, so that the accuracy and full coverage of the location of the risk group are ensured. The Internet companies such as Tencer, ali, hua, baidu and the like and communication operators such as UNICOM, mobile, telecom and the like are all designed with a regional information interface, a people number interface at each moment, a personnel inflow and outflow interface, a regional positioning weight interface, a regional portrait interface and other position big data attribute interfaces. The technology is packaged in standard on a service support layer of an over-standard flood emergency risk avoidance system, fully supports position big data attribute interfaces such as Tencer, ali, hua, baidu, UNICOM, mobile, telecom and the like, and extracts the position information of a mobile terminal user in a disaster area in real time by introducing and fusing the position big data and by a radio communication network or an external positioning mode of an operator. Based on a multi-source data fusion technology, the mutual supplement of various position service data is realized; and the method is combined with the traditional household registration personnel identification method, and based on comprehensive analysis of regional contemporaneous historical population data, the rationality verification of regional population quantity is realized. When the emergency risk avoidance transfer auxiliary function is implemented, one, several or all interfaces are pertinently accessed by combining the characteristics and communication conditions of the disaster involved area, and the crowd data in the flood submerged area and the safety area are dynamically monitored to obtain the position information and the flood control corresponding attribute information of the mobile terminal users of the risk crowd of the disaster involved area.
In the step 3, the crowd portrayal technology dynamically draws the disaster prevention characteristic attributes (mainly including crowd position, time, frequent location distribution and the like) of the crowd in the disaster-related area based on crowd big data of internet companies and communication operators, establishes an area visual crowd state map under the support of a geographic information system platform, grasps the people gathering, evacuating and trapping conditions in the flood-threatening area and the safety area in real time, dynamically analyzes the population total number, space-time distribution and transfer trend of the flood-threatening in real time, helps to formulate a real-time evacuation path and guide crowd evacuation, and provides technical support for emergency risk avoidance of the crowd.
In the step 4, the electronic fence technology and the real-time communication technology are combined with a super-standard flood evolution situation map to give out warning and reminding to the personnel who are in or about to enter the high risk area in a targeted manner, so that the risk avoiding efficiency is improved. The high risk area crowd identification under the super-standard flood belongs to a scene with medium precision requirements, and at present, the precision requirements can be met by combining satellite navigation such as GPS, beidou and the like and cellular positioning of operators. However, the number of people is large in the scene, the range of the electronic fence is large, and the algorithm efficiency of personnel identification is required to be improved. And under the condition that the operator cellular can be utilized, the base station is matched with grids divided by the flood control high risk area in advance, and the grids are stored in a disaster prevention thematic database so as to be called in real time. In the specific calculation, the characteristic of low calculation complexity of the regular graph space is utilized, the inscription likelihood approximation principle is adopted in the high risk area, and the inscription likelihood approximation principle is adopted in the safety area, so that the real-time recognition calculation efficiency is improved. For the situation of simply utilizing satellite navigation, the same regular rectangular or prototype likelihood approximation method is adopted for the high risk area and the safety area, so that the recognition efficiency is improved. In consideration of the application advantages and disadvantages of short messages, weChat, APP and the like, under the flood control emergency danger avoiding early warning scene, three modes are built simultaneously, and the guarantee rate of acquisition of early warning information by high-risk regional crowd is improved.
In step 5, the real-time communication technology is preferably used for pushing and releasing flood protection emergency transfer early warning real-time information, evacuation time, target positions, optimal risk avoidance transfer paths or placement schemes, real-time traffic road conditions and other information to mobile terminals such as mobile phones of people affected by risks, risk avoidance transfer organization managers and flood protection management decision-making staff in a map and dynamic information mode in a classified manner by means of short messages, weChats, APP or system internal messages and the like respectively; meanwhile, by utilizing an unmanned plane technology, cruising broadcasting is carried out in the area affected by flood inundation, and people are reminded and guided to evacuate; in addition, real-time disaster-stricken crowd attribute information and transportation condition information such as roads are provided for the rescue party, so that the rescue party can collect corresponding manpower and material resources for on-site rescue.
Preferably, in step 6, the position real-time monitoring mode adopts LBS technology, develops terminal application, acquires crowd information in the flood inundation influence area in real time, analyzes and dynamically draws population total number and real-time distribution thereof in the area, and realizes population security transfer progress feedback and tracking.
The beneficial effects obtained by the invention are as follows: by introducing Internet and mobile phone communication positioning big data and combining water conservancy, space topography, internet crowd big data and the like, comprehensive analysis is performed, the existing household registration-based personnel transfer mode and technical bottleneck are broken through, the fact that danger avoiding transfer is accurate to people is achieved, the accuracy and timeliness of danger avoiding crowd identification, early warning, guiding, tracking and feedback are greatly improved, and the emergency danger avoiding transfer efficiency and effect of crowd in a flood inundation influence area are practically improved.
Drawings
FIG. 1 is a schematic flow chart of the present invention;
FIG. 2 is a rectangle-based early warning method for the likelihood approximation crowd outsourced to the high risk area;
fig. 3 is a rectangle-based early warning method for a safe zone inscription likelihood approximation crowd.
Detailed Description
The invention will be further described with reference to the drawings and the specific examples.
As shown in fig. 1, the flood control emergency risk avoidance method based on LBS of the present invention includes the following steps:
(1) Analyzing flood inundation and evolution conditions of the area threatened by flood through flood calculation; the flood calculation result is obtained by adopting a hydrologic and hydrodynamic model to dynamically calculate the flood in real time, and specific calculation elements comprise risk information such as flood submerging range, submerging water depth, submerging duration and the like. The specific calculation method of flood calculation is not limited temporarily, and the flood calculation method can be flexibly selected according to the water conditions, industry conditions, ground conditions and people conditions of the river basin exceeding the standard river reach.
(2) On the basis of the existing tissue evacuation, combining with a multi-source LBS technology, accurately identifying the position information of flood risk influence people and people in a safety area; the LBS technology (based on location service) comprehensively considers the advantages and characteristics of the Internet location big data and the communication operator location big data in the aspects of sampling frequency, cost, location precision, coverage range and the like, forms multi-source data, fuses and utilizes the multi-source data, and ensures the accuracy and full coverage of the location of the risk group. The Internet companies such as Tencer, ali, hua, baidu and the like and communication operators such as UNICOM, mobile, telecom and the like are all designed with a regional information interface, a people number interface at each moment, a personnel inflow and outflow interface, a regional positioning weight interface, a regional portrait interface and other position big data attribute interfaces. The technology is packaged in standard on a service support layer of an over-standard flood emergency risk avoidance system, fully supports position big data attribute interfaces such as Tencer, ali, hua, baidu, UNICOM, mobile, telecom and the like, and extracts the position information of a mobile terminal user in a disaster area in real time by introducing and fusing the position big data and by a radio communication network or an external positioning mode of an operator. Based on a multi-source data fusion technology, the mutual supplement of various position service data is realized; and the method is combined with the traditional household registration personnel identification method, and based on comprehensive analysis of regional contemporaneous historical population data, the rationality verification of regional population quantity is realized. When the emergency risk avoidance transfer auxiliary function is implemented, one, several or all interfaces are pertinently accessed by combining the characteristics and communication conditions of the disaster involved area, and the crowd data in the flood submerged area and the safety area are dynamically monitored to obtain the position information and the flood control corresponding attribute information of the mobile terminal users of the risk crowd of the disaster involved area.
(3) Dynamically drawing crowd characteristic attributes and space-time distribution in disaster areas by adopting crowd image and geographic information system technology; the crowd portrayal technology dynamically draws the crowd disaster prevention characteristic attributes (mainly comprising crowd position, time, frequent location distribution and the like) of the crowd in the disaster-related area based on crowd big data of internet companies and communication operators, establishes an area visual crowd state map under the support of a geographic information system platform, grasps the people gathering, evacuating and trapping conditions in the flood-threatening area and the safety area in real time, dynamically analyzes the population total number, space-time distribution and transfer trend of the flood-threatening in real time, helps to formulate a real-time evacuation path and guide crowd evacuation, and provides technical support for emergency evacuation of the crowd.
(4) Combining flood situation by utilizing LBS, space analysis, electronic fence technology and real-time communication technology, and carrying out transfer danger avoidance and evacuation early warning prompt and transfer guidance on personnel in a flood risk influence area; sending out early warning notice to personnel entering the high risk area to prompt the personnel to be far away from the risk area; and the electronic fence technology and the real-time communication technology are combined with the super-standard flood evolution situation map to give out warning and reminding to the personnel who are in the high risk area and are about to enter the high risk area in a targeted manner so as to improve the risk avoiding efficiency. The high risk area crowd identification under the super-standard flood belongs to a scene with medium precision requirements, and at present, the precision requirements can be met by combining satellite navigation such as GPS, beidou and the like and cellular positioning of operators. However, the number of people is large in the scene, the range of the electronic fence is large, and the algorithm efficiency of personnel identification is required to be improved. And under the condition that the operator cellular can be utilized, the base station is matched with grids divided by the flood control high risk area in advance, and the grids are stored in a disaster prevention thematic database so as to be called in real time. In the specific calculation, the characteristic of low calculation complexity of the regular graph space is utilized, the inscription likelihood approximation principle is adopted in the high risk area, and the inscription likelihood approximation principle is adopted in the safety area, so that the real-time recognition calculation efficiency is improved. For the case of simply using satellite navigation, the same regular rectangular or prototype likelihood approximation method is adopted for the high risk area and the safety area (see fig. 2 and 3 (the rectangular grid in fig. 3 can be optimally adjusted to be a triangular grid, and the diagram is only shown as an example)), so that the recognition efficiency is improved. In consideration of the application advantages and disadvantages of short messages, weChat, APP and the like, under the flood control emergency danger avoiding early warning scene, three modes are built simultaneously, and the guarantee rate of acquisition of early warning information by high-risk regional crowd is improved.
(5) Based on a real-time communication technology and an unmanned aerial vehicle technology, the flood control emergency risk avoidance information is pushed to mobile terminals of risk groups, risk avoidance transfer organization management and decision-making personnel and rescue parties, and flood flooding risk area personnel transfer is guided in real time; the real-time communication technology combines flood inundation images, traffic maps, real-time regional thermodynamic diagrams, emergency refuge plans and the like, and pushes and distributes flood control emergency transfer early warning real-time information, evacuation time, target positions, optimal refuge transfer paths or placement schemes, real-time traffic road conditions and other information to mobile terminals such as mobile phones of people affected by risks, refuge transfer organization managers, flood control management decision-making personnel and the like in a map and dynamic information mode in a classified manner through short messages, weChats, APP or system internal messages and the like, so as to guide flood inundation influence regional personnel to transfer in real time; meanwhile, by utilizing an unmanned plane technology, cruising broadcasting is carried out in the area affected by flood inundation, and people are reminded and guided to evacuate; in addition, real-time disaster-stricken crowd attribute information and transportation condition information such as roads are provided for the rescue party, so that the rescue party can collect corresponding manpower and material resources for on-site rescue.
(6) The method comprises the steps of feeding back and tracking the progress of population safety transfer by combining real-time traffic condition information and safety zone personnel load conditions in a position real-time monitoring mode, optimizing the dredging of crowds with jams or rescheduling an evacuation path until the crowds are completely and safely evacuated; and the position real-time monitoring mode adopts an LBS technology, develops terminal application, acquires crowd information in a flood inundation influence area in real time, analyzes and dynamically draws population total number in the area and real-time distribution thereof, and realizes population safety transfer progress feedback and tracking.
The following will be described with specific examples:
(1) And carrying out typical superstandard flood inundation simulation analysis and calculation according to the Jingjiang flood diversion area flood risk map. The flood control standard of the Jingjiang river segment is 100 years flood, if 1998 years flood occurs 200 years flood, the Jingjiang flood diversion area is started, and the flood storage capacity is 26.39 hundred million m 3 Flood diversion flow 7700m 3 And/s, flood diversion for 120 hours. The Jingjiang flood diversion area can be roughly divided into a high risk area, a higher risk area, a medium risk area and a 4-level flood risk area of a smaller risk area according to the arrival time, the flow rate, the submerged water depth and other factors of the flood.
(2) The method is cooperated with large data service providers of Tengxun, aili, huacheng, UNICOM, mobile, telecom and the like, a large data attribute interface of each service provider is reserved on a flood control emergency risk avoidance system, and a multi-source data fusion technology is adopted to realize mutual supplement and verification of various position service data. And during emergency danger avoidance, combining the characteristics of disaster-related areas and communication conditions, pertinently accessing one, several or all interfaces, importing the positions of the flood inundation area, the flood danger area and the safety area in the flood diversion area and the range thereof, and acquiring the position information and other attribute information of the crowd mobile terminal users in the disaster-related areas so as to dynamically monitor the crowd flow distribution in the areas.
(3) And dynamically drawing the characteristic attribute and the space-time distribution of the crowd in the Jingjiang flood diversion area by adopting crowd image and geographic information system technology and combining traffic information.
(4) And the electronic fence technology and the real-time communication technology are adopted, and people which are in the influence range of flooding with the flood are discovered through short messages, weChat, APP and the like, and warning, reminding and guiding information for evacuating to a safe area are sent.
(5) Based on a real-time communication technology, the flood control emergency risk avoidance information is pushed to the crowd and the rescue party mobile terminals in the flood flooding influence range in a mode of short messages, weChat, APP or system internal messages and the like, and the personnel transfer in the flood flooding area is guided in real time to guide the rescue party to implement on-site rescue.
(6) And the thermodynamic diagrams of the crowd in the area are monitored in real time by a position real-time monitoring mode, and the progress of the crowd safety transfer is tracked and fed back in real time until the crowd is completely evacuated.
The foregoing has shown and described the basic principles and main structural features of the present invention. The present invention is not limited to the above examples, and various changes and modifications may be made therein without departing from the spirit and scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (1)
1. A flood control emergency risk avoiding method based on LBS comprises the following steps:
(1) Analyzing flood inundation and evolution conditions of the area threatened by flood through flood calculation; the flood calculation result is as follows: the flood management system is obtained by adopting a hydrologic and hydrokinetic model to dynamically calculate flood in real time, wherein specific calculation elements comprise flood submerging range, submerging depth and submerging duration risk information;
(2) On the basis of the existing tissue evacuation, combining with a multi-source LBS technology, accurately identifying the position information of flood risk influence people and people in a safety area; the LBS technology comprehensively considers the advantages and characteristics of the Internet position big data and the communication operator positioning big data in the aspects of sampling frequency, cost, positioning accuracy and coverage range, and forms and fuses the multi-source data for use, so that the accuracy and full coverage of the positioning of the risk group are ensured; the method comprises the steps that an internet company and a communication operator design an area information interface, a personnel number interface, a personnel inflow and outflow interface, an area positioning weight interface and an area portrait interface position big data attribute interface at all times, standard packaging is carried out on a service support layer by the interface technology in a super-standard flood emergency risk avoidance system, the position big data attribute interface is comprehensively supported, and position information of a disaster area mobile terminal user is extracted in real time by introducing and fusing position big data of the interface technology and through a radio communication network or an external positioning mode of the operator; based on a multi-source data fusion technology, the mutual supplement of various position service data is realized; combining with the traditional household registration personnel identification method, and comprehensively analyzing based on regional contemporaneous historical population data to realize the rationality verification of regional population quantity; when the emergency risk avoidance transfer auxiliary function is implemented, one, several or all interfaces are pertinently accessed by combining the characteristics and communication conditions of the disaster involved area, and crowd data in the flood submerged area and the safety area are dynamically monitored to obtain the position information and flood control corresponding attribute information of mobile terminal users of risk crowd in the disaster involved area;
(3) Dynamically drawing crowd characteristic attributes and space-time distribution in disaster areas by adopting crowd image and geographic information system technology; the crowd portrayal technology dynamically draws the disaster prevention characteristic attribute of the crowd in the disaster area based on the crowd big data of internet companies and communication operators, establishes an area visual crowd state map under the support of a geographic information system platform, grasps the aggregation, evacuation and trapping conditions of people in the flood threat area and the safety area in real time, dynamically analyzes the population total number, space-time distribution and transfer trend of the flood threat in real time, helps to formulate a real-time evacuation path and guide crowd evacuation, and provides technical support for emergency evacuation of the crowd;
(4) Combining flood situation by utilizing LBS, space analysis, electronic fence technology and real-time communication technology, and carrying out transfer danger avoidance and evacuation early warning prompt and transfer guidance on personnel in a flood risk influence area; sending out early warning notice to personnel entering the high risk area to prompt the personnel to be far away from the risk area; the electronic fence technology and the real-time communication technology are combined with the super-standard flood evolution situation map to give out warning and reminding to the personnel who are in the high risk area and are about to enter the high risk area in a targeted manner so as to improve the risk avoiding efficiency; the high risk area crowd identification under the hyperscale flood belongs to a scene with moderate precision requirement, and at present, the precision requirement can be met whether GPS and Beidou satellite navigation are simply used or operator cellular positioning is combined; however, the number of people is large in the scene, the range of the electronic fence is large, and the algorithm efficiency of personnel identification is required to be improved; under the condition that an operator honeycomb can be utilized, a base station is matched with grids divided by a flood control high risk area in advance, and the grids are stored in a disaster prevention thematic database so as to be called in real time; in the specific calculation, the characteristic of low calculation complexity of a regular graph space is utilized, an outsourcing likelihood approximation principle is adopted in a high risk area, an inscription likelihood approximation principle is adopted in a safety area, and the real-time identification calculation efficiency is improved; for the situation of simply utilizing satellite navigation, the same regular rectangular or circular likelihood approximation method is adopted for the high risk area and the safety area, so that the recognition efficiency is improved; considering the advantages and disadvantages of short messages, weChat and APP application, under the flood control emergency risk avoidance early warning scene, simultaneously constructing short messages, weChat, APP or system internal information to push flood control emergency risk avoidance information to crowd and rescue party mobile terminals in the flood inundation influence range, and improving the guarantee rate of acquisition of early warning information for crowd in a high risk area;
(5) Based on a real-time communication technology and an unmanned aerial vehicle technology, the flood control emergency risk avoidance information is pushed to mobile terminals of risk groups, risk avoidance transfer organization management and decision-making personnel and rescue parties, and flood flooding risk area personnel transfer is guided in real time; the real-time communication technology combines a flood inundation map, a traffic map, a real-time regional thermodynamic diagram and an emergency refuge plan, and pushes and distributes flood protection emergency transfer early warning real-time information, evacuation time, target positions, an optimal refuge transfer path or a placement scheme and real-time traffic road condition information to mobile terminals of people affected by risks, refuge transfer organization managers and flood protection management decision-making staff in a map and dynamic information mode respectively, so as to guide flood protection inundation influence region staff to transfer in real time; meanwhile, cruising broadcasting is carried out in the area of the influence area submerged by flood, and people are reminded and guided to evacuate; in addition, real-time disaster-stricken crowd attribute information and road transportation condition information are provided for the rescue party, so that the rescue party can collect corresponding manpower and material resources for on-site rescue;
(6) The method comprises the steps of feeding back and tracking the progress of population safety transfer by combining real-time traffic condition information and safety zone personnel load conditions in a position real-time monitoring mode, optimizing the dredging of crowds with jams or rescheduling an evacuation path until the crowds are completely and safely evacuated; the position real-time monitoring mode adopts an LBS technology, develops terminal application, acquires crowd information in a flood inundation influence area in real time, analyzes and dynamically draws population total number in the area and real-time distribution thereof, and realizes population security transfer progress feedback and tracking.
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| CN113138997A (en) * | 2021-03-23 | 2021-07-20 | 湖北省地震局(中国地震局地震研究所) | Earthquake population thermodynamic diagram calculation method for earthquake emergency rescue |
| CN113780714A (en) * | 2021-06-18 | 2021-12-10 | 水利部交通运输部国家能源局南京水利科学研究院 | Urban flood response emergency response system |
| CN113554214A (en) * | 2021-06-18 | 2021-10-26 | 水利部交通运输部国家能源局南京水利科学研究院 | Method for setting emergency transfer route of city flood response |
| CN113902168B (en) * | 2021-09-08 | 2022-11-01 | 长江信达软件技术（武汉）有限责任公司 | Flood emergency evacuation method based on real-time crowd data fusion |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104992249A (en) * | 2015-07-14 | 2015-10-21 | 华中科技大学 | Flood-diversion area danger-avoiding transfer scheme programming method in passive flood-diversion scene |
| CN107169647A (en) * | 2017-05-10 | 2017-09-15 | 合肥慧图软件有限公司 | A kind of police service supervision enforcement system based on GIS and LBS technologies |
| CN107180071A (en) * | 2017-03-29 | 2017-09-19 | 暨南大学 | A kind of big data risk identification based on mobile intelligent terminal, early warning and emergent platform |
| CN110460959A (en) * | 2019-08-22 | 2019-11-15 | 四创科技有限公司 | It is a kind of based on inlet flow rate identification, transfer path intellectual analysis keep away calamity placement dispatching method |
| CN110532952A (en) * | 2019-08-30 | 2019-12-03 | 四川大学 | Flood disaster risk early warning and evacuation system based on GIS location technology |
| WO2020010983A1 (en) * | 2018-07-11 | 2020-01-16 | 阿里巴巴集团控股有限公司 | Risk control method, risk control device, electronic device and storage medium |
| CN111127956A (en) * | 2019-12-31 | 2020-05-08 | 长江空间信息技术工程有限公司(武汉) | Flood unmanned aerial vehicle emergency response scheduling method |
| CN111145499A (en) * | 2019-09-26 | 2020-05-12 | 深圳市东深电子股份有限公司 | Disaster prevention monitoring system and method based on big data |
-
2020
- 2020-05-15 CN CN202010414774.4A patent/CN112016783B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104992249A (en) * | 2015-07-14 | 2015-10-21 | 华中科技大学 | Flood-diversion area danger-avoiding transfer scheme programming method in passive flood-diversion scene |
| CN107180071A (en) * | 2017-03-29 | 2017-09-19 | 暨南大学 | A kind of big data risk identification based on mobile intelligent terminal, early warning and emergent platform |
| CN107169647A (en) * | 2017-05-10 | 2017-09-15 | 合肥慧图软件有限公司 | A kind of police service supervision enforcement system based on GIS and LBS technologies |
| WO2020010983A1 (en) * | 2018-07-11 | 2020-01-16 | 阿里巴巴集团控股有限公司 | Risk control method, risk control device, electronic device and storage medium |
| CN110460959A (en) * | 2019-08-22 | 2019-11-15 | 四创科技有限公司 | It is a kind of based on inlet flow rate identification, transfer path intellectual analysis keep away calamity placement dispatching method |
| CN110532952A (en) * | 2019-08-30 | 2019-12-03 | 四川大学 | Flood disaster risk early warning and evacuation system based on GIS location technology |
| CN111145499A (en) * | 2019-09-26 | 2020-05-12 | 深圳市东深电子股份有限公司 | Disaster prevention monitoring system and method based on big data |
| CN111127956A (en) * | 2019-12-31 | 2020-05-08 | 长江空间信息技术工程有限公司(武汉) | Flood unmanned aerial vehicle emergency response scheduling method |
Non-Patent Citations (1)
| Title |
|---|
| 殷丹 ; .基于GIS的避洪转移分析技术研究.长江科学院院报.2016,(第08期),全文. * |
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